Comparison between performance of conventional, fuzzy and fractional order PID controllers in practical speed control of induction motor

Vahedpour, Mohammadreza; Noei, Abolfazl Ranjbar; Kholerdi, Hedyeh A.

doi:10.1109/kbei.2015.7436165

Cited by 26 publications

(9 citation statements)

References 6 publications

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“…The drawbacks mentioned above show a requirement for a more robust, reliable, cost-effective, and less complex speed controller. A fuzzy logic controller possessing all these qualities seems to be a better alternative for the conventional controller [13][14][15][16][17].…”

Section: Speed Controllermentioning

confidence: 99%

Closed Loop V/f Speed Control of Multilevel Inverter Fed Induction Motors Using PID and Fuzzy Logic Controllers

Konathala¹,

Mary

Mounica

et al. 2021

Proc. eng. technol. innov.

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The Volts per Hertz (V/f) speed control method makes induction motors available to be used in variable speed applications. However, the great harmonic distortion in supply voltage is a major issue of this method. Therefore, this study focuses on decreasing the harmonic distortion in the supply to induction motors. For that, the use of thirty-one-level multilevel inverters (MLIs) is investigated. Another drawback of the V/f speed control method is the use of proportional-integral-derivative (PID) controllers as speed controllers, which are difficult to be tuned precisely. To overcome this, the use of fuzzy logic controllers is investigated. The whole model is developed and simulated in MATLAB/SIMULINK by varying two variables, i.e., reference speed and load torque, one at a time using each controller. The observations for the changes in speed, torque, stator current, and supply voltage to the induction motors are made. The system’s performance using fuzzy logic controllers is found superior.

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Section: Speed Controllermentioning

confidence: 99%

Closed Loop V/f Speed Control of Multilevel Inverter Fed Induction Motors Using PID and Fuzzy Logic Controllers

Konathala¹,

Mary

Mounica

et al. 2021

Proc. eng. technol. innov.

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“…Salah satu metode untuk kendali kecepatan motor induksi adalah dengan menganalisis hubungan kecepatan dan torsi motor induksi. Analisis kecepatan motor induksi dengan mengubah besaran yaitu tahanan rotor, induktansi rotor, magnitude tegangan terminal, dan control tegangan/frekuensi (v/f) yang disebut dengan besaran Scalar Control [10]. Kelemahan dari Scalar Control adalah respon kecepatan dan torsi yang belum mencapai nilai akurat.…”

Section: Pendahuluanunclassified

Analysis of 3 Phase Induction Motor Speed Control with Direct Torque Control (DTC) Method Based on PID Control

Sari¹,

Suyono²,

Lomi³

2020

JurnalEcotipe

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This research was conducted to regulate the three phase induction motor speed regulation system. Changes in load on the motor affect the motor speed response so it does not match the set point speed. This study uses the Direct Torque Control (DTC) method in regulating the speed of an induction motor. The DTC method is a vector control method that is directly assigned to the inverter. DTC method in controlling speed based on Proportional Integral Differential (PID) control. Determination of PID tunning using two methods, namely, ziegler-nichols and cohen-coon method. The ziegler-nichols method have overshoot speeds starting at 0.8% of the setpoint, whereas using the cohen coon method there is no overshoot and the speed at stable conditions matches the setpoint.

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“…PID controller employs a fundamental control method with strong control property [12]. PID controllers are most commonly (around 90% of the controllers) adopted controller in the industries [13]. PID controller consists of three (03) basic gain parameters (K p , K i , K d ) Schematic of PID controller is shown in Fig.…”

Section: Pid Controllermentioning

confidence: 99%

Optimal PID tuning for controlling the temperature of electric furnace by genetic algorithm

2019

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Temperature is one of the exigent parameters that needs to be controlled in today's industries. Importantly this temperature control should be precise and fast. As the conventional controllers are not optimally tuned, the controller used for controlling the temperature of the electric furnace does not exhibit better performance. Its rise time and settling time is too large as well as it has a sizable amount of overshoot. This paper presents a Genetic Algorithm based PID controller to overcome the low precision, long rise time and settling time of the controller. In this algorithm, Integral of Absolute Error is taken as the object function for minimizing the error. Using this function, the algorithm engenders the optimum value of the gain parameters (K p , K i , K d) for the PID controller. It shows better control over the conventional controllers. As the overshoot, settling time, and rise time are substantially improved, it provides sharp and prompt control over the temperature. This precise and instant control of temperature has a great impact on the food and medicine industries. As the temperature could be controlled precisely and instantly, we can avoid the change/degradation of the physical properties of the materials that are under process.

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Comparison between performance of conventional, fuzzy and fractional order PID controllers in practical speed control of induction motor

Cited by 26 publications

References 6 publications

Closed Loop V/f Speed Control of Multilevel Inverter Fed Induction Motors Using PID and Fuzzy Logic Controllers

Closed Loop V/f Speed Control of Multilevel Inverter Fed Induction Motors Using PID and Fuzzy Logic Controllers

Analysis of 3 Phase Induction Motor Speed Control with Direct Torque Control (DTC) Method Based on PID Control

Optimal PID tuning for controlling the temperature of electric furnace by genetic algorithm

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